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Blog post: https://fillout.com/blog/how-we-used-ai-to-improve-our-user-onboarding/
I shared Fillout last week and several of you asked how it works under the hood. Wrote this quick blog post to explain how. Let me know what you think!
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Hi,
I'd like to introduce a human segmentation toolkit called PP-HumanSeg.
This might be some help to you. Hope you enjoy it.
This toolkit has:
A large-scale video portrait dataset that contains 14K frames for conference scenes
Portrait segmentation models that achieve SOTA performance (mIoU 96.63%, 63 FPS on mobile phone)
Several out-of-box human segmentation models for real scene
Github: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/contrib/PP-HumanSeg
https://i.redd.it/qldxzglroqv91.gif
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In this post, we introduce a new analysis in the Data Quality and Insights Report of Amazon SageMaker Data Wrangler. This analysis assists you in validating textual features for correctness and uncovering invalid rows for repair or omission. Data Wrangler reduces the time it takes to aggregate and prepare data for machine learning (ML) from […]
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In the past decade, we have seen Deep learning (DL) science adopted at a tremendous pace by AWS customers. The plentiful and jointly trained parameters of DL models have a large representational capacity that brought improvements in numerous customer use cases, including image and speech analysis, natural language processing (NLP), time series processing, and more. […]
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I have developed a framework named AIJack to simulate various attacks against machine learning models, mainly based on PyTorch and sklearn. I have implemented more than 20 algorithms, such as Model Inversion, Poisoning Attack, Evasion Attack, Federated Learning, Split Learning, Differential Privacy, and Homomorphic Encryption. I am looking forward to your feedback!
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Sensor AI solutions specialist SenSen has turned to the NVIDIA Jetson edge AI platform to help regulators track heavy vehicles moving across Australia. Australia’s National Heavy Vehicle Regulator, or NHVR, has a big job — ensuring the safety of truck drivers across some of the world’s most sparsely populated regions. They’re now harnessing AI to Read article >
The post Keep On Trucking: SenSen Harnesses Drones, NVIDIA Jetson, Metropolis to Inspect Trucks appeared first on NVIDIA Blog.
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 100 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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I'm trying to do an algorithm project on text to speech, and found these channels that have an extremely realistic text to speech software. I know it isn't a human because multiple different channels use it, but its much better than the regular text to speech software. If anyone has any idea, please let me know, and I'll pay 20 dollars to the first person who tells me how to find this software cuz I've been searching for a long time
[UPDATE] ill pay 100 DOLLARS!
videos:
He Is Handsome And Talented In Studying But Playing Games Using "Hack" | Anime Recap - YouTube
He Got Possessed By A Overpowered Dragon Soul And Takes Revenge On The Demons - YouTube
He Can Easily Learn All The Hardest Forbidden Magic - YouTube
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https://blog.tensorflow.org/2022/10/building-the-future-of-tensorflow.html
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Blockchain is a method for storing data that makes it harder to hack the system. The business blockchain is a distributed, encrypted database that its authorized users can only alter. Users have a complete say over how other users view data and what actions can be taken by other users within the network.
The post How Businesses can boost Revenue Using Blockchain Technology appeared first on Data Science Central.
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Banks and financial institutions offer great value and convenience to their end users. However, they are notorious for being susceptible to fraudulent attacks such as credit card identity theft. A lot has been done in adding layers of security to an individual’s banking experience.
The post How RFID Technology is Applied in Banks and Financial Institutions appeared first on Data Science Central.
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txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. A full-fledged vector search application can be created with a couple lines of code. There are also almost 40 example notebooks covering many different use cases.
5.1 adds new model support for the translation pipeline, OpenAI Whisper support in the transcription pipeline and ARM Docker images. Topic modeling was also updated with improvements, including how to use BM25/TF-IDF indexes to drive topic models.
GitHub | Release Notes | Docker Hub | Examples
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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I just also want to know how someone can believe that this thing is real. There's literally 5 different youtube channels doing the same thing and wanted to know what the engine they're using is.
youtube video: He Mastered All Elements And Overpowered The Gods - YouTube
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The Biden administration has launched a new workforce development funding program to help people, including those at community colleges, gain skills for emerging jobs in fields like AI, biotechnology, quantum science and new areas of advanced manufacturing and semiconductor.
Forbes article talks about how the program could scale AI education at new education and training providers where its not currently common like community colleges. Talks about Intel's work to get AI at community colleges in all 50 states by next year
https://www.forbes.com/sites/shalinjyotishi/2022/10/20/biden-administration-launches-new-workforce-program-for-emerging-technology-jobs
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Here is a podcast episode with Hattie Zhou where we discuss iterative learning, The Lottery Ticket Hypothesis, their paper on fortuitous forgetting, and much more!
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Hi,
I'd like to introduce EISeg , an efficient and interactive tool for segmentation annotation.
Hope this be some help for you 😀
Main Features:
You only need several clicks to finish annotation, improving the efficiency by 10 times
Support image and video as inputs
Provide specialized models for better performance , such as portrait, remote sensing, medical treatment, etc
Open-source, easy-to-use and powerful
Download: https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/EISeg
Technical article: https://arxiv.org/abs/2210.08788
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Hello there, I hope you all are doing well. I am AI research Engineer who has been working in the AI industry for almost two years now. I am also a Teacher Assistant at the university I graduated from. I had lots of work in NLP and some in CV, but quite a few in RL. Therefore, I want to push myself and work in the research field, specifically in RL. I will attach my Resume here. So that if you are interested in having strong soul, hard working guys in your team, please let me know!
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Halloween special 👻
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Fillout is the first AI-powered form builder. Just describe your form and our AI will instantly generate a form for you to customize.
We're live on Product hunt and would appreciate your support and feedback! https://www.producthunt.com/posts/fillout-com
Check out the demo video on that post to see how the AI works and let me know if you have any questions - I'll be around :)
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Posted by Wenhao Yu, Research Scientist, Robotics at Google, and Kuang-Huei Lee, Research Engineer, Google Research, Brain team
Evolution strategy (ES) is a family of optimization techniques inspired by the ideas of natural selection: a population of candidate solutions are usually evolved over generations to better adapt to an optimization objective. ES has been applied to a variety of challenging decision making problems, such as legged locomotion, quadcopter control, and even power system control.
Compared to gradient-based reinforcement learning (RL) methods like proximal policy optimization (PPO) and soft actor-critic (SAC), ES has several advantages. First, ES directly explores in the space of controller parameters, while gradient-based methods often explore within a limited actio…
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Collecting and annotating image data is one of the most resource-intensive tasks on any computer vision project. It can take months at a time to fully collect, analyze, and experiment with image streams at the level you need in order to compete in the current marketplace. Even after you’ve successfully collected data, you still have […]
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Amazon SageMaker and SageMaker inference endpoints provide a capability of training and deploying your AI and machine learning (ML) workloads. With inference endpoints, you can deploy your models for real-time or batch inference. The endpoints support various types of ML models hosted using AWS Deep Learning Containers or your own containers with custom AI/ML algorithms. […]
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This week vincentfunart and retromanni discuss how they collaborate to create some amazing art
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Step-by-step walkthrough on lip-syncing with Wav2Lip
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GeForce NOW expands touch control support to 13 more games this GFN Thursday. That means it’s easier than ever to take PC gaming on the go using mobile devices and tablets. The new “Mobile Touch Controls” row in the GeForce NOW app is the easiest way for members to find which games put the action Read article >
The post Get in Touch With New Mobile Gaming Controls on GeForce NOW appeared first on NVIDIA Blog.
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There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran. This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter today’s guest and his company Tarteel, a member of the Read article >
The post How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation appeared first on NVIDIA Blog.
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Hi, my name is Lex Fridman. I host a podcast. I'm talking to Andrej Karpathy on it soon. To me, Andrej is one of the best researchers and educators in the history of the machine learning field. If you have questions/topic suggestions you'd like us to discuss, including technical and philosophical ones, please let me know.
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Fillout is the first AI-powered form builder. Just describe your form and our AI will instantly generate a form for you to customize.
We're live on Product hunt and would appreciate your support and feedback! https://www.producthunt.com/posts/fillout-com
Check out the demo video on that post to see how the AI works and let me know if you have any questions - I'll be around :)
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Blog post
This uses a nice dataset by /u/gwern, and trains a decent latent-diffusion-based model from scratch, with several orders of magnitude less compute than Stable Diffusion (although anime-only, but it is better than Stable Diffusion on anime pictures).
FWIW, a self-hosted demo (I tried to restrict it to produce only safe samples)
It runs via Gradio proxy, so it is flaky and unstable at times, but works after some retries. I'll keep it running for the next several days.
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Text-Based Real Image Editing
Code: https://github.com/ShivamShrirao/diffusers/tree/main/examples/imagic
Colab: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/imagic/Imagic_Stable_Diffusion.ipynb
Still need to play around and tune the parameters a bit, may not work as is on every subject. Hopefully everyone can try it out now.
Input Image
A photo of Barack Obama smiling with a big grin.
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Businesses can lose billions of dollars each year due to malicious users and fraudulent transactions. As more and more business operations move online, fraud and abuses in online systems are also on the rise. To combat online fraud, many businesses have been using rule-based fraud detection systems. However, traditional fraud detection systems rely on a […]
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R is a popular analytic programming language used by data scientists and analysts to perform data processing, conduct statistical analyses, create data visualizations, and build machine learning (ML) models. RStudio, the integrated development environment for R, provides open-source tools and enterprise-ready professional software for teams to develop and share their work across their organization Building, […]
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As machine learning (ML) goes mainstream and gains wider adoption, ML-powered applications are becoming increasingly common to solve a range of complex business problems. The solution to these complex business problems often requires using multiple ML models. These models can be sequentially combined to perform various tasks, such as preprocessing, data transformation, model selection, inference […]
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Hello everyone!
What do you guys think are the most promising approaches to tune hyperparameters for training environments using standard algorithms like PPO, SAC or similar? Many papers that I come across still conduct trial-and-error or run grid searches.
As far as I know CleanRL implements TPE. Also, I'm wondering if F-Race is considerable.
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Paper: https://dl.acm.org/doi/10.1145/3503161.3548287
Project Page: https://roychowdhuryresearch.github.io/ODMO_ACMMM2022/
Github: https://github.com/roychowdhuryresearch/ODMO
https://reddit.com/link/y7jdz4/video/rqdi20lntmu91/player
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Recessions, it has been said, are typically only visible in a rear-view mirror. In theory, we are in a recession when the economy shrinks over two quarters. In practice, however, not all recessions are the same.
The post DSC Weekly 18 October 2022 – How the Pandemic Created a Time Warp appeared first on Data Science Central.
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Representation of data using graphics such as charts, plots, infographics, heat maps, bubble clouds, scatter plots, mekko charts, animation, etc., is termed data visualization. Such visual displays and representation of information help communicate complex data relationships and data-driven insights in a way that makes it easy to understand and base decisions on.
The post How Data Visualization is Essential for the Banking and Finance Sector appeared first on Data Science Central.
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This list is based on LinkedIn. Criteria for selection include the number of followers (above 50k), the relevancy and contributions to the field, relevant education and professional experience, as well as recent activity. This list is in alphabetical order. Kirk Borne. Worldwide top influencer since 2013. Data Scientist. Global Speaker. Consultant. Astrophysicist. Space Scientist. Big… Read More »Machine Learning Superstars: The Top 30 Influencers To Follow in 2023
The post Machine Learning Superstars: The Top 30 Influencers To Follow in 2023 appeared first on Data Science Central.
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As an application domain for IoT, smart cities initially showed promise but have struggled over the last decade. However, Smart islands (instead of smart cities) may be good for the success of the Internet of Things.
The post Drone-based IoT Connect Smart Islands appeared first on Data Science Central.
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Hi, there! My team prepared the report on what customers love and hate about customer service chatbots. Together with our project managers, and marketers we analyzed data of thousands of conversations with real users, and made thi reserach with insigts, stats and recommendations on how to overcome struggels.
This research would be helpful for:
Companies that have a chatbot that isn't performing well and they don't know why
Companies who want to implement a chatbot but are unsure about the best ways of creating a chatbot.
Important things!
Here're more details about our research:
Use case: Customer support
Platform: Website
Language: English
Locations: Europe, USA
Industries: E-commerce, Retail, Retail health
Here's the link to the general article on the best chatbot practices and there you'll find the research.
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Learn about how AI is used to identify pills with issues before they get to you…
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Hey everyone, thought this would be a fun read where we demonstrate clustering on the Pokémon character statistics database in just 15 minutes. Read here if you're interested!
If you have any question, feel free to ask away too.
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Speeding adoption of enterprise AI and accelerated computing, Oracle CEO Safra Catz and NVIDIA founder and CEO Jensen Huang discussed their companies’ expanding collaboration in a fireside chat live streamed today from Oracle CloudWorld in Las Vegas. Oracle and NVIDIA announced plans to bring NVIDIA’s full accelerated computing stack to Oracle Cloud Infrastructure (OCI). It Read article >
The post NVIDIA, Oracle CEOs in Fireside Chat Light Pathways to Enterprise AI appeared first on NVIDIA Blog.
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Meta today announced its next-generation AI platform, Grand Teton, including NVIDIA’s collaboration on design. Compared to the company’s previous generation Zion EX platform, the Grand Teton system packs in more memory, network bandwidth and compute capacity, said Alexis Bjorlin, vice president of Meta Infrastructure Hardware, at the 2022 OCP Global Summit, an Open Compute Project Read article >
The post Meta’s Grand Teton Brings NVIDIA Hopper to Its Data Centers appeared first on NVIDIA Blog.
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Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology improves creative workflows. In the coming weeks, we’ll be deep diving on new GeForce RTX 40 Series GPU features, technologies and resources, and how they dramatically Read article >
The post Adobe MAX Kicks Off With Creative App Updates and 3D Artist Anna Natter Impresses This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Vehicle appraisals are getting souped up with a GPU-accelerated AI overhaul. ProovStation, a four-year-old startup based in Lyon, France, is taking on the ambitious computer-vision quest of automating vehicle inspection and repair estimates, aiming AI-driven super-high-resolution stations at businesses worldwide. It recently launched three of its state-of-the-art vehicle inspection scanners at French retail giant Carrefour’s Read article >
The post Souped-Up Auto Quotes: ProovStation Delivers GPU-Driven AI Appraisals appeared first on NVIDIA Blog.
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Lately, I have been getting many questions from folks who don’t have an engineering or computer science background, especially women…
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Predicting the Telecom Customer Churn.
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AI and ECM technologies are already having a big impact on education these days, and that impact is only going to keep growing in the…
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Studying users’ behavior and understanding their sentiments have become substantial to businesses with the increasing platforms operating…
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Today, Amazon SageMaker Canvas introduces the ability to use the Quick build feature with time series forecasting use cases. This allows you to train models and generate the associated explainability scores in under 20 minutes, at which point you can generate predictions on new, unseen data. Quick build training enables faster experimentation to understand how […]
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Exploratory data analysis (EDA) is a common task performed by business analysts to discover patterns, understand relationships, validate assumptions, and identify anomalies in their data. In machine learning (ML), it’s important to first understand the data and its relationships before getting into model building. Traditional ML development cycles can sometimes take months and require advanced […]
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Hey everyone, thought this would be a fun read where we demonstrate clustering on the Pokémon character statistics database in just 15 minutes. Read here if you're interested!
If you have any question, feel free to ask away too.
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All audio credits to TrollPhace!
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The world is watching the war Russia is waging against the Ukrainians. Most of it applauds how the Ukrainians adapt to a rapidly evolving environment and occasionally prevail. This article describes how the Ukrainian’s agility serves them quite well in the conflict.
The post Ukrainian Success Through the Lens of Agile appeared first on Data Science Central.
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A Business Discipline consists of systematic research, observation, measurement, and experimentation resulting in the assimilation of learnings into laws, theorems, concepts, principles, practices, frameworks, and formulas to enable the consistent application and ongoing enhancements from the real-world application of that discipline.
The post Data Management as a Business Discipline – Part 3: Enabling Frameworks appeared first on Data Science Central.
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Trustable data can be defined as data that comes from specific and trusted sources and is used according to its intended use. It is delivered in the appropriate format and time frames for specific users.
The post What is trustable data? Why do you need it? appeared first on Data Science Central.
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Adam Petway, strength and conditioning coach for the University of Louisville, is using his MIT Professional Education training to improve player performance off the court.
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Founded more than 91 years ago in Seattle, John L. Scott Real Estate’s core value is Living Life as a Contribution®. The firm helps homebuyers find and buy the home of their dreams, while also helping sellers move into the next chapter of their home ownership journey. John L. Scott currently operates over 100 offices […]
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I experimented with RL after college and threw together a tic-tac-toe program based on a section in the Sutton and Barto text. I eventually implemented an evolutionary algorithm to generalize from a small number of states. I apologize for the messiness of the code. I put this together during the free time I had between graduating and starting my job (I was actually on a plane the last time I worked on this). I just wanted make a post in case someone finds anything interesting in my approach. The repo can be found here.
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As a civil engineer, Scott Ashford used explosives to make the ground under Japan’s Sendai airport safer in an earthquake. Now, as the dean of the engineering college at Oregon State University, he’s at ground zero of another seismic event. In its biggest fundraising celebration in nearly a decade, Oregon State announced plans today for Read article >
The post AI Supercomputer to Power $200 Million Oregon State University Innovation Complex appeared first on NVIDIA Blog.
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I saw this post on r/MachineLearning about fine-tuning StableDiffusion on a custom dataset and decided to have a go. From a previous project, I had a dataset of images of Mobile Suits (i.e humanoid mechas) from the anime franchise Mobile Suit Gundam.
Project: https://github.com/Askannz/gundam-stable-diffusion (see there for code&data)
Some fun results: https://imgur.com/a/1Bg1Lyy
Colab demo: https://colab.research.google.com/drive/11Bdkub4OGtMNdSlMKx4fklB5LAtFFVpG
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A considerable percentage of new apps in the Google App store are removed for violating the store's guidelines. This is inconvenient for the users of these apps, who may lose their in-app data. Computer scientists from the University of Groningen have devised two machine learning models that can predict the chances of a new app being removed, both before and after uploading it to the app store. These models can help both developers and users. The details of this project are described in a paper that was published in the journal Systems and Soft Computing on Sept. 29.
The Google Play store has set rules and requirements that developers must adhere to. After being submitted, apps are immediately uploaded to the store, but it takes Google some time to vet them before they remove apps that ar…
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A couple of days ago, Stability AI “infiltrated” the r/StableDiffusion community, banned some of the users, kicked out the moderators and took over the subreddit
https://analyticsindiamag.com/when-stability-ai-went-rogue-on-reddit-rampage%ef%bf%bc/
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Amazon SageMaker multi-model endpoint (MME) enables you to cost-effectively deploy and host multiple models in a single endpoint and then horizontally scale the endpoint to achieve scale. As illustrated in the following figure, this is an effective technique to implement multi-tenancy of models within your machine learning (ML) infrastructure. We have seen software as a […]
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This post was co-written with Tobias Wenzel, Software Engineering Manager for the Intuit Machine Learning Platform. We all appreciate the importance of a high-quality and reliable machine learning (ML) model when using autonomous driving or interacting with Alexa, for examples. ML models also play an important role in less obvious ways—they’re used by business applications, […]
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Amazon Neptune ML is a machine learning (ML) capability of Amazon Neptune that helps you make accurate and fast predictions on your graph data. Under the hood, Neptune ML uses Graph Neural Networks (GNNs) to simultaneously take advantage of graph structure and node/edge properties to solve the task at hand. Traditional methods either only use […]
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If you’re like most people, you probably think that only highly intelligent people are capable of being creative. But as it turns out, this…
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(Unlocked bonus post - longggg bonus post!)
What does DALL-E2 generate when I ask it for the most popular Halloween candy of each US state?
Each prompt is included in the picture's caption - you can see that after a while I started varying it a bit, first
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Hi,
I run a startup with three other founders and I have a problem that machine learning and OCR (optical character recognition) would solve. But we are stretched thin and it has been a few years since my CTO - a software architect with nearly 40 years experience - worked on anything similar, so we are unsure if this exercise would pull us away from our core focus too much.
That is why we are looking for someone who is interested in taking on this problem as a project. This is a bounded problem, meaning it is very achievable. We just don't know how long it would take. We are willing to offer equity as part of an model called restricted stock units, so if we are commercially successful you would have a signed agreement from us to claim a nominal amount of shares.
The Problem
This is a s…
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I made a website for a PoC, but currently its not really working well
especially for those images that have some human-like brush styles
https://www.illuminarty.ai/
This started off as a pure hobby based but I started getting a bit of some traction from the art communities (mainly anime), now I am seriously considering if I should start spending more time on this but I lack brain cells
is anyone here interested in this topic? do you think this would be of any use?
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If you're looking for some of the interesting AI chatbot use cases with examples, it's a quick read:
https://www.haptik.ai/blog/conversational-ai-in-apac?utm_source=website&utm_medium=blog&utm_campaign=conversationalAI&utm_content=read+more
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You must have come across matrix multiplication in school textbooks. But did you know how relevant it is in every aspect of our daily lives, from processing images on our phones and recognising speech commands to generating graphics for computer games?
https://analyticsindiamag.com/why-solving-for-efficiency-of-matrix-multiplication-such-a-big-deal-in-computing/
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Amazon SageMaker Pipelines is a continuous integration and continuous delivery (CI/CD) service designed for machine learning (ML) use cases. You can use it to create, automate, and manage end-to-end ML workflows. It tackles the challenge of orchestrating each step of an ML process, which requires time, effort, and resources. To facilitate its use, multiple templates […]
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If you have searched for an item to buy on amazon.com, you have used Amazon Search services. At Amazon Search, we’re responsible for the search and discovery experience for our customers worldwide. In the background, we index our worldwide catalog of products, deploy highly scalable AWS fleets, and use advanced machine learning (ML) to match […]
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When it comes to reimagining the next generation of automotive, NIO is thinking outside the car. This month, the China-based electric vehicle maker introduced its lineup to four new countries in Europe — Denmark, Germany, the Netherlands and Sweden — along with an innovative subscription-based ownership model. The countries join NIO’s customer base in China Read article >
The post Hello, World: NIO Expands Global Footprint With Intelligent Vehicle Experiences appeared first on NVIDIA Blog.
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NVIDIA and Oracle are teaming to make the power of AI accessible to enterprises across industries. These include healthcare, financial services, automotive and a broad range of natural language processing use cases driven by large language models, such as chatbots, personal assistants, document summarization and article completion. Join NVIDIA and Oracle experts at Oracle CloudWorld, Read article >
The post Learn How NVIDIA Advances AI for Enterprises, at Oracle CloudWorld appeared first on NVIDIA Blog.
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Alien invasions. Gritty dystopian megacities. Battlefields swarming with superheroes. As one of Hollywood’s top concept artists, Drew Leung can visualize any world you can think of, except one where AI takes his job. He would know. He’s spent the past few months trying to make it happen, testing every AI tool he could. “If your Read article >
The post Press Art to Continue: New AI Tools Promise Art With the Push of a Button — But Reality Is More Complicated appeared first on NVIDIA Blog.
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High-end PC gaming arrives on more devices this GFN Thursday. GeForce NOW RTX 3080 members can now stream their favorite PC games at up to 1600p and 120 frames per second in a Chrome browser. No downloads, no installs, just victory. Even better, NVIDIA has worked with Google to support the newest Chromebooks, which are Read article >
The post GeForce NOW Streams High-Res, 120-FPS PC Gaming to World’s First Cloud Gaming Chromebooks appeared first on NVIDIA Blog.
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"On average, across 4 NLP tasks and 10 attention types, single layer wide models perform 0.3% better than their deep counterparts"
Discussions of some wide attention results
https://twitter.com/andrey_kurenkov/status/1579474438822985728
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All you have to do is input a YouTube video link and get a video with subtitles (alongside with .txt, .vtt, .srt files).
Whisper can translate 98 different languages to English. If you want to give it a try;
Link of the app: https://huggingface.co/spaces/BatuhanYilmaz/Auto-Subtitled-Video-Generator
https://reddit.com/link/y2cpjc/video/oiac58arcft91/player
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I would like you to give me your opinion and also tell me what could be improved. The video explains in detail the explainable artificial intelligence technique, LIME. The video derives from my bachelor's thesis. Thank you!
Understanding LIME | Explainable AI
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The age of electric vehicles has arrived and, with it, an entirely new standard for premium SUVs. Polestar, the performance EV brand spun out from Volvo Cars, launched its third model today in Copenhagen. With the Polestar 3, the automaker has taken SUV design back to the drawing board, building a vehicle as innovative as Read article >
The post Large and Fully Charged: Polestar 3 Sets New Standard for Premium Electric SUVs appeared first on NVIDIA Blog.
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This week 'In the NVIDIA Studio' creators can now pick up the GeForce RTX 4090 GPU, available from top add-in card providers including ASUS, Colorful, Gainward, Galaxy, GIGABYTE, INNO3D, MSI, Palit, PNY and ZOTAC, as well as from system integrators and builders worldwide.
The post GeForce RTX 4090 GPU Arrives, Enabling New World-Building Possibilities for 3D Artists This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Original tune melody is a slide guitar. The AI changed that to a human-like voicing.
The AI version is a rough cut but eq and processing cleaned it up a bit.
The AI created whispers throughout as well as changing the slide guitar.
Original
https://soundcloud.com/iamlazerkat/lost-in-the-fabric-of-space-time
AI
https://soundcloud.com/iamlazerkat/ai-voiced-lost-in-the-fabric-of-space-time
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For decades, making a machine fully capable of learning by observing its environment has been the biggest dream for many researchers. Though methods like supervised or reinforcement learning have made huge advancements, there is a lot of speculation if they are the right way forward.
https://analyticsindiamag.com/yann-lecuns-version-of-autonomous-machine-intelligence/
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A massive amount of business documents are processed daily across industries. Many of these documents are paper-based, scanned into your system as images, or in an unstructured format like PDF. Each company may apply unique rules associated with its business background while processing these documents. How to extract information accurately and process them flexibly is […]
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More info at https://outsystems-ai-reading-group.github.io/
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Absolute beginner in model deployment here, looking to build an API endpoint to this model specifically. Most articles I found online are either too simplistic (docker+fastAPI, which is known be very slow for inference from transformers), or they are so complex that it goes over the top of my head.
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Climate Change, as an extension or corollary Energy Transitions, is undoubtedly one of the most critical issues that merit urgent and serious attention from policymakers, scientists, and governments across the globe. However, before looking for solutions, it is equally important to define and frame the problem in the most realistic and unbiased way to ensure the holistic nature of the solution(s).
The post Energy Transitions: We Need To Redefine the Problem and Reframe the Narrative appeared first on Data Science Central.
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In Part 1 of the “Building Blocks for Modern Data Management”, I explored two important modern data management concepts: Data Subassemblies and Data Products (Figure 1). Data Subassemblies are the packaging and pre-wiring of data and its supporting accouterments (e.g., enriched metadata, data access methods, data governance policies and procedures, data access security protocols, data… Read More »Data Subassemblies and Data Products Part 2: Economics and Journey Maps
The post Data Subassemblies and Data Products Part 2: Economics and Journey Maps appeared first on Data Science Central.
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The issue is not just the actual multiplication but the fastest method to perform the multiplication. The speeding up of matrix multiplication calculations has a high impact because matrix multiplication is a part of many applications - especially in deep learning and image processing.
The post AlphaTensor and Its Implications for AI, Reinforcement Learning, and Science appeared first on Data Science Central.
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Use cases for ML are seemingly infinite, from automatic responses to queries and automated stock trading, to recommendation engines and customer experience enhancements
The post Declarative Machine Learning Alone isn’t Enough for the Data Science Community appeared first on Data Science Central.
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Enterprises often deal with large volumes of IT service requests. Traditionally, the burden is put on the requester to choose the correct category for every issue. A manual error or misclassification of a ticket usually means a delay in resolving the IT service request. This can result in reduced productivity, a decrease in customer satisfaction, […]
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This article is part of a series please read The Marvellous Link first to get a better understanding.
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Automatic subtitle translate and dubbing on YouTube from English to Russian using computer vision
medium article: https://medium.com/@wb-08/automatic-subtitles-dubbing-on-youtube-using-computer-vision-35ad776ffe18
github repo: https://github.com/wb-08/SubVision
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In this post, we present a solution that combines rich mobile device intelligence with customized machine learning (ML) modeling to help you catch fraudsters who exploit mobile apps. GrabDefence (GD), Grab’s proprietary fraud detection and prevention technology, and AWS have launched GDxAFD, a fraud detection solution tailored for mobile apps that integrates GD’s device intelligence […]
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Automated outbound calls are the preferred method of interaction with clients. We have all received an automated call and they will try to sell us something. When handled properly, these calls can enhance customer experience and boost productivity at your company. All you require is the appropriate outbound automated calling solution. These tools take every… Read More »How Automatic Outbound Calling is Important for Small Businesses
The post How Automatic Outbound Calling is Important for Small Businesses appeared first on Data Science Central.
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Source: Unsplash When starting any business, the first step is to create a business plan. A business plan is a document that outlines your business goals and how you plan to achieve them. For a coworking space, you will want to focus on specific aspects of your business when creating your plan. This blog post… Read More »How to write a profitable business plan for a coworking business
The post How to write a profitable business plan for a coworking business appeared first on Data Science Central.
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Back in 2018, BERT got people talking about how machine learning models were learning to read and speak. Today, large language models, or LLMs, are growing up fast, showing dexterity in all sorts of applications. They’re, for one, speeding drug discovery, thanks to research from the Rostlab at Technical University of Munich, as well as Read article >
The post Beyond Words: Large Language Models Expand AI’s Horizon appeared first on NVIDIA Blog.
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Evaluation is a main part for any project, in Biometric system there are a some special evaluation parts used for security reasons and…
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I am trying to calculate the Syntactic divergence for my private Question Answering dataset, but I couldn't find any good implementation or explanation on how to do it in Python.
While Searching, I found This [GitHub script][1] and [this script][2] but couldn't understand the code. Could someone provide a neat example in Python of how to calculate the Syntactic divergence for a custom question-answering dataset?
[1]: https://github.com/Lallivero/qna/blob/master/src/analysis/qa_analysis.py
[2]: https://github.com/Lallivero/qna/blob/10c1106b019dcf0536785db0556f98241da04119/src/dataset_stat/analyze_dep_path.py
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Using Red Hat OpenShift Data Science to create a fully supported sandbox in which to rapidly develop, train, and test machine learning (ML) models in the public cloud before deploying in production.
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Hi r/reinforcementlearning
I wrote a short blog post about the recent paper on Matrix Multiplication. I curate some expert opinions from twitter and give a breakdown of the Tensor trick used in the paper.
https://sudeepraja.github.io/MatrixMultiplication/
I appreciate all corrections and feedback.
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Hi r/MachineLearning
I wrote a short blog post about the recent paper on Matrix Multiplication. I curate some expert opinions from twitter and give a breakdown of the Tensor trick used in the paper.
https://sudeepraja.github.io/MatrixMultiplication/
I appreciate all corrections and feedback.
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singularity - is a hypothetical point in time at which technological growth will become radically faster and uncontrollable, resulting in unforeseeable changes to human civilization .
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Last week we launched a Kaggle competition on imputing missing data https://www.kaggle.com/competitions/genentech-404-challenge/overview. The challenge: handling different data missingness patterns in an automatic way.
The development data consisting of a complete tabular dataset along with three missingness masks meant to simulate different patterns of missing data.
Two test sets are released and each test set has a different, unspecified missingness mechanism. The public leaderboard includes 20% of each test set and the private leaderboard includes the remaining 80% of each test set.
Hope everyone has a great weekend.
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The problem: https://i.imgur.com/mTsrpYM.png
The problem's question: https://i.imgur.com/qX6xmyi.png
I have no idea how to go about this. How do I go about constructing an admissible heuristic for this sliding tile game problem?
Please let me know how and how to go about with the explanation. I'm a bit confused here. Guidance would be appreciated, thanks.
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Posted it on stackexchange, I might as well post the link here in case someone has had a similar experience:
https://ai.stackexchange.com/questions/37288/tensorflow-set-weights-and-get-weights-are-too-slow
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If you're wondering about this, come and participate in two amazing weeks (21 Oct ~ 5 Nov) of Quantum hackathon HAQS with code, workshops, fun and prizes, organized by qBraid which will consist of a leaderboard for a Quantum Machine Learning challenge. Save your spot here: https://account.qbraid.com/haqs
https://preview.redd.it/vetyrpx7x8s91.png?width=1080&format=png&auto=webp&s=02f5aeb767b2ddfe4a3efb8dfc2e00896c1bade7
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Video demo: https://www.youtube.com/watch?v=qy2MrNhsoIs
Project page: https://github.com/Aubrey-ao/HumanBehaviorAnimation
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Greater availability of de-identified patient health data would enable better treatments and diagnostics, the researchers say.
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Synamedia is a leading video technology provider addressing the needs for premium video service providers and direct-to-consumer (D2C) with a comprehensive solution portfolio. Synamedia solutions spread across several pillars such as video networks, TV platforms, advertisement and monetization, and content protection and piracy disruption. Synamedia partnered with AWS to use artificial intelligence (AI) to develop […]
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Model training forms the core of any machine learning (ML) project, and having a trained ML model is essential to adding intelligence to a modern application. A performant model is the output of a rigorous and diligent data science methodology. Not implementing a proper model training process can lead to high infrastructure and personnel costs […]
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This post was co-written with Robert Berger and Adine Deford from InformedIQ. InformedIQ is the leader in AI-based software used by the nation’s largest financial institutions to automate loan processing verifications and consumer credit applications in real time per the lenders’ policies. They improve regulatory compliance, reduce cost, and increase accuracy by decreasing human error […]
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Shared our methodology for successful Computer Vision projects. Check it out!
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Cooler weather, the changing colors of the leaves, the needless addition of pumpkin spice to just about everything, and discount Halloween candy are just some things to look forward to in the fall. GeForce NOW members can add one more thing to the list — 25 games joining the cloud gaming library in October, including Read article >
The post Fall Into October With 25 New Games Streaming on GeForce NOW appeared first on NVIDIA Blog.
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https://lambdalabs.com/blog/inference-benchmark-stable-diffusion/
This inference benchmark of Stable Diffusion analyzes how different choices in hardware (GPU model, GPU vs CPU) and software (single vs half-precision, PyTorch vs ONNX runtime) affect inference performance in terms of speed, memory consumption, throughput, and quality of the output images.
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Last week I decided to run a simple experiment to with the new SetFit method developed by teams at Hugging Face, Intel Labs and UKP Lab.
What results can I get by spending some time labeling a few, but good quality examples of the unlabeled split of the IMDb benchmark dataset?
I was actually very impressed with the generalisation capacity of SetFit so I decided to write the tutorial below.
I think it also shows that taking some time to label good quality data can give you strong results thanks to the representation capabilities of current models.
I'd love to hear your thoughts!
https://rubrix.readthedocs.io/en/master/tutorials/few-shot-classification-with-setfit.html
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https://www.nature.com/articles/s41586-022-05172-4
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"A self-programming AI implemented using a code generation model can successfully modify its own source code to improve performance and program sub-models to perform auxiliary tasks."
Twitter discussion: https://twitter.com/nearcyan/status/1576620734146756609
Another discussion in r/singularity: https://www.reddit.com/r/singularity/comments/xtwd7k/selfprogramming_artificial_intelligence_using/
ICLR OpenReview: https://openreview.net/forum?id=SKat5ZX5RET
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Digital is the new normal, and there’s no going back. Every year, consumers visit, on average, 191 websites or services requiring a user name and password, and the digital footprint is expected to grow exponentially. So much exposure naturally brings added risks like account takeover (ATO). Each year, bad actors compromise billions of accounts through […]
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Content moderation is the process of screening and monitoring user-generated content online. To provide a safe environment for both users and brands, platforms must moderate content to ensure that it falls within preestablished guidelines of acceptable behavior that are specific to the platform and its audience. When a platform moderates content, acceptable user-generated content (UGC) […]
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Face-off Probability is the National Hockey League’s (NHL) first advanced statistic using machine learning (ML) and artificial intelligence. It uses real-time Player and Puck Tracking (PPT) data to show viewers which player is likely to win a face-off before the puck is dropped, and provides broadcasters and viewers the opportunity to dive deeper into the […]
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Thanks to earbuds, people can take calls anywhere, while doing anything. The problem: those on the other end of the call can hear all the background noise, too, whether it’s the roommate’s vacuum cleaner or neighboring conversations at a café. Now, work by a trio of graduate students at the University of Washington, who spent Read article >
The post Researchers Use AI to Help Earbud Users Mute Background Noise appeared first on NVIDIA Blog.
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When not engrossed in his studies toward a Ph.D. in statistics, conducting data-driven research on AI and robotics, or enjoying his favorite hobby of sailing, Yizhou Zhao is winning contests for developers who use NVIDIA Omniverse — a platform for connecting and building custom 3D pipelines and metaverse applications.
The post Meet the Omnivore: Ph.D. Student Lets Anyone Bring Simulated Bots to Life With NVIDIA Omniverse Extension appeared first on NVIDIA Blog.
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Julien Salinas wears many hats. He’s an entrepreneur, software developer and, until lately, a volunteer fireman in his mountain village an hour’s drive from Grenoble, a tech hub in southeast France. He’s nurturing a two-year old startup, NLP Cloud, that’s already profitable, employs about a dozen people and serves customers around the globe. It’s one Read article >
The post AI Esperanto: Large Language Models Read Data With NVIDIA Triton appeared first on NVIDIA Blog.
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Over the years, I’ve hosted many AI & emerging tech events and there’s one question that comes up a lot. Do I need to be an engineer or…
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Until the last decade, software development was a new chapter in the history of enterprise evolution. However, with time, the industry has…
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Machine Learning and Data Science are two terms that have become very popular over the past few years. It is important to understand that…
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Artificial intelligence (AI) has the potential to change our society, but it also raises ethical questions. The use of AI in healthcare is…
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In Part 7.0 of the Transfer Learning series we have discussed about Densenet pre-trained model in depth so in this series we will…
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Who are the most successful PhD researchers? Or more precisely people who achieved the most (in terms of citations, impact etc.) while being PhD students? If you can give examples in last say 50 years but also more recent ones say last 5 years.
Someone I noticed: Chelsea Finn
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I have a Python program which captures a pair of stereo rectified images, and I'd like to use this model to generate the disparity map. I'm unfamiliar with TensorRT and TAO, so am looking for either a high-level explanation of how it would be possible to use the model for inference within my program, or instruction on how to do so.
https://catalog.ngc.nvidia.com/orgs/nvidia/teams/isaac/models/dnn_stereo_disparity
Thanks in advance!
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More info at https://outsystems-ai-reading-group.github.io/
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I have asked this question about off-policy learning, in THE book (Sutton & Barto). I didn't get any replies on ai.stackechange, so I am also posting it here. I would be thankful if you could help me out. Thank you.
https://ai.stackexchange.com/questions/37258/off-policy-monte-carlo-learning-why-is-probability-of-sampling-a-trajectory-the
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Near-real-time delivery of data and insights enable businesses to rapidly respond to their customers’ needs. Real-time data can come from a variety of sources, including social media, IoT devices, infrastructure monitoring, call center monitoring, and more. Due to the breadth and depth of data being ingested from multiple sources, businesses look for solutions to protect […]
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Creating robust and reusable machine learning (ML) pipelines can be a complex and time-consuming process. Developers usually test their processing and training scripts locally, but the pipelines themselves are typically tested in the cloud. Creating and running a full pipeline during experimentation adds unwanted overhead and cost to the development lifecycle. In this post, we […]
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TwitchCon — the world’s top gathering of live streamers – kicks off Friday with the new line of GeForce RTX 40 Series GPUs bringing incredible new technology — from AV1 to AI — to elevate live streams for aspiring and professional Twitch creators alike.
The post Creator EposVox Shares Streaming Lessons, Successes This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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The trendiest fashion styles are just in! And they’re just one click away with the help of the latest DALL-E deep learning model!
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One-shot and few-shot learning’s Siamese network implementation in Keras
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https://ai.facebook.com/blog/gpu-inference-engine-nvidia-amd-open-source/?utm_source=twitter&utm_medium=organic_social&utm_campaign=blog
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tl;dr - launching Deep Lake - the data lake for deep learning applications
Hey r/ML,
Davit here from team Activeloop. My team and I have worked for over three years on our product, and we're excited to launch the latest, most performant iteration, Deep Lake.
Deep Lake is the data lake for deep learning applications. It retains all the benefits of a vanilla data lake, with one difference. Deep Lake is optimized to store complex data, such as images, videos, annotations, embeddings, & tabular data, in the form of tensors and rapidly streams the data over the network to (1) our lightning-fast query engine: Tensor Query Language, (2) in-browser visualization engine, and (3) deep learning frameworks without sacrificing GPU utilization.
YouTube demo
Detailed Launch post
Key features
A s…
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(Thank you to everyone who participated!) Some of the added features are:
support for dataset poisoning detection for classification models (Spectral Signature Detection)
support for several defenses (Gaussian Noise, Gaussian Augmentation, Reverse Sigmoid)
support for the Kitti dataset format
attacks and visualization for depth perception tasks
webhook functionality to enable easy workflow automation
performance improvement and more.
If you haven't tested it so far, you can make an account and test out the updated version. Your feedback is really appreciated. You can sign up here https://www.navinfo.eu/services/cybersecurity/guardai/ and leave your feedback directly through the platform. Thank you!
GuardAI
We harness the power of AI and Cybersecurity to develop more secure and robust solutions.
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Automatic subtitle translate and dubbing on YouTube from English to Russian using computer vision:
https://reddit.com/link/xuhd46/video/flfr15ezxkr91/player
Subtitle recognition video demo: https://www.youtube.com/watch?v=Y9OAd61ihJQ
Github Repo: https://github.com/wb-08/SubVision
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Check out the real-life examples of machine learning in healthcare, benefits of implementing AI/ML and things to consider before implementing ML in healthcare. https://itchronicles.com/artificial-intelligence/how-machine-learning-in-healthcare-10-real-business-cases/
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Hi I'm looking for any multiagent payload transport environments publicly available for experimentation, like the one shown in here https://youtu.be/7gE_n6b5-LM
Any similar environments where the agents are required to collectively act to transport an object are very much appreciated. TIA.
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Machine learning (ML) has improved business across industries in recent years—from the recommendation system on your Prime Video account, to document summarization and efficient search with Alexa’s voice assistance. However, the question remains of how to incorporate this technology into your business. Unlike traditional rule-based methods, ML automatically infers patterns from data so as to […]
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This post is a joint collaboration with Andries Engelbrecht and James Sun of Snowflake, Inc. The cloud computing revolution has enabled businesses to capture and retain corporate and organizational data without capacity planning or data retention constraints. Now, with diverse and vast reserves of longitudinal data, companies are increasingly able to find novel and impactful […]
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Amazon Elastic Compute Cloud (Amazon EC2) G5 instances are the first and only instances in the cloud to feature NVIDIA A10G Tensor Core GPUs, which you can use for a wide range of graphics-intensive and machine learning (ML) use cases. With G5 instances, ML customers get high performance and a cost-efficient infrastructure to train and […]
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The future of artificial intelligence in third world countries is one of the most important topics to be discussed today. For decades…
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Python is a popular programming language with many advantages over other languages. It’s easy to read, write and maintain, which makes it the perfect choice for beginners and experts alike. There are lots of libraries available for almost any type of data science you could want to do and it has great documentation. Plus, there's an incredible community that's always happy to answer your questions or give you advice on how to get started!
The post 10 Reasons to Choose Python for Your Next Web Development Project appeared first on Data Science Central.
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I believe that there are two key modern data management “products” required to transition data management into a business discipline focused on helping organizations accelerate their data-driven business innovation. One of those “products” – Data Products – is already gaining wide acceptance as a way for organizations to monetize their customer, product, service, and operational insights or predicted behavioral and performance propensities.
The post Building Blocks for Modern Data Management: Data Subassemblies and Data Products – Part 1 appeared first on Data Science Central.
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At first impression, humanoid robots do not have much in common with autonomous cars. But both are autonomous devices. Hence, lessons learned in creating autonomous cars could be applied to developing autonomous robots.
The post Tesla’s Optimus: Humanoid robots before autonomous cars? appeared first on Data Science Central.
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Hello,
I wanted to try on technique of reinforcement learning for music generation / imitation:
It learns the first few notes after say a few hundred episodes but then somehow it gets stuck and can not learn the whole piece:
https://github.com/githubuser1983/music_generation_with_reinforcement_learning
Here is some result, after playing a little bit with some hyperparameters:
pdf: https://drive.google.com/file/d/1dB-gc7BPev4cryVbiDFTyBm0qKCGnhq8/view?usp=sharing
mp3: https://drive.google.com/file/d/1VF7HUonfQXAVSzMANgu26fBvZCrFCOYQ/view?usp=sharing
Any feedback would be very nice! (I am not sure what the right flair is for this post)
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Are machines still dreaming of electrical sheep? Or have they moved on to replace human workers?
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blue stability, fork of stability-sdk, adds a bash cli for checkpointing and automation, like this script:
blue_stability text_to_video \ https://www.gutenberg.org/cache/epub/51833/pg51833.txt \ url,~dryrun,frame_count=100,marker=PART \ --seed 43 \ --start_schedule 0.9
https://i.redd.it/awefb97wr8r91.gif
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Be our guest as we celebrate 20 years of AI/ML innovation on October 25, 2022, 9:00 AM – 10:30 AM PT. The first 1,500 people to register will receive $50 of AWS credits. Register here. Over the past 20 years, Amazon has delivered many world firsts for artificial intelligence (AI) and machine learning (ML). ML […]
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AWS Panorama is a collection of machine learning (ML) devices and a software development kit (SDK) that brings computer vision to on-premises internet protocol (IP) cameras. AWS Panorama device options include the AWS Panorama Appliance and the Lenovo ThinkEdge SE70, powered by AWS Panorama. These device options provide you choices in price and performance, depending […]
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In this post, we demonstrate how Kubeflow on AWS (an AWS-specific distribution of Kubeflow) used with AWS Deep Learning Containers and Amazon Elastic File System (Amazon EFS) simplifies collaboration and provides flexibility in training deep learning models at scale on both Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon SageMaker utilizing a hybrid architecture approach. […]
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Pressing or pressure in football is a process in which a team seeks to apply stress to the opponent player who possesses the ball. A team applies pressure to limit the time an opposition player has left to make a decision, reduce passing options, and ultimately attempt to turn over ball possession. Although nearly all […]
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Ten years from now, the technological fitness of clubs will be a key contributor towards their success. Today we’re already witnessing the potential of technology to revolutionize the understanding of football. xGoals quantifies and allows comparison of goal scoring potential of any shooting situation, while xThreat and EPV models predict the value of any in-game […]
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Depending on the quality and complexity of data, data scientists spend between 45–80% of their time on data preparation tasks. This implies that data preparation and cleansing take valuable time away from real data science work. After a machine learning (ML) model is trained with prepared data and readied for deployment, data scientists must often […]
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Scott at Astral Codex Ten claims that he already won his bet on the accuracy/quality of image generation models given the current capabilities of Imagen — so I ran a series of human feedback tests to evaluate his victory claim more rigorously.
Blog: https://www.surgehq.ai/blog/dall-e-vs-imagen-and-evaluating-astral-codex-tens-3000-ai-bet
Curious for all of your opinions as well — do Scott's images pass muster?
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I’m creating music with OpenAI Jukebox (link), and the results are full of non-standard noises, which don’t succumb to usual denoising filters.
So my idea was to create a relatively small (10–20 examples) set of non-noisy audio (real music) together with the same audio put through Jukebox (without any AI generation, just conversion).
Then I would need some neural net to “back train” to remove that kind of noise.
Do you think this is doable? If so, is there any Colab or Python library available for this?
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We (KerasCV) launched the world's most performant stable diffusion inference pipeline (as of September 2022). You can assemble it in three lines of code:

keras.mixed_precision.set_global_policy("mixed_float16") model = keras_cv.models.StableDiffusion(jit_compile=True)
Check it out!
https://keras.io/guides/keras_cv/generate_images_with_stable_diffusion/
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I have been looking for a framework/library that can be like/smiliar to PyTorch Lightning. I even checked on Awesome-Jax. Do we have any framework but for Jax/flax/haiku?
I mostly need features: Checkpoint saving, reproducibility, and logging.
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With customer demands growing, regulations around health and safety and net zero increasing, and existing infrastructure aging with each…
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Automation has taken much of the business world by storm. For a good reason, it presents the digital transformation journey transition…
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Artificial Intelligence and blockchain have been two of the most promising technologies in recent years. They are still waiting to be fully…
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Salesforce.com, the BEST software company in the world.
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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(Thank you to everyone who participated!) Some of the added features are:
support for dataset poisoning detection for classification models (Spectral Signature Detection)
support for several defenses (Gaussian Noise, Gaussian Augmentation, Reverse Sigmoid)
support for the Kitti dataset format
attacks and visualization for depth perception tasks
webhook functionality to enable easy workflow automation
performance improvement and more.
If you haven't tested it so far, you can make an account and test out the updated version. Your feedback is really appreciated. You can sign up here https://www.navinfo.eu/services/cybersecurity/guardai/ and leave your feedback directly through the platform. Thank you!
GuardAI
We harness the power of AI and Cybersecurity to develop more secure and robust solutions.
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Hey, I want to share a podcast with you that I found recently. They try to debunk a popular myth about machines only learning from large amounts of data, and share a use case of applying ML with a small dataset.
What do you think about it?
https://youtu.be/ZVen_YiGcuc
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Sorry for asking another question Dueling Deep Q Networks. I think this paper is a tad bit more confusing than the usual. https://ai.stackexchange.com/q/37234/31755
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Facebook's blog post: https://ai.facebook.com/blog/generative-ai-text-to-video/
Project URL: https://makeavideo.studio/
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Text-Generator.io now pulls down and analyses images with text in them (as well as links and other types of images)
https://text-generator.io/blog/document-question-answering
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The Myosuite challenge (https://sites.google.com/view/myochallenge) at NeurIPS2022 tests our ability to build and train policies for contact-rich manipulation skills.
EvoTorch (evotorch.ai) makes it straightforward to apply evolutionary reinforcement learning to the challenge. We've included setup help, training and visualisation scripts, a baseline controller trained through the provided script and help for submission to the competition. Simply head to the public GitHub to get started: https://github.com/nnaisense/evotorch-myosuite-starter
If you need any more help getting started, come talk to us on our slack
Here's a video of the baseline controller that we've included:
https://reddit.com/link/xqtyw6/video/10qwrq795pq91/player
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This post is co-authored by Salma Taoufiq and Harini Kannan from Sophos. As a leader in next-generation cybersecurity, Sophos strives to protect more than 500,000 organizations and millions of customers across over 150 countries against evolving threats. Powered by threat intelligence, machine learning (ML), and artificial intelligence from Sophos X-Ops, Sophos delivers a broad and […]
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NVIDIA artists ran their engines at full throttle for the stunning Racer RTX demo, which debuted at last week’s GTC keynote, showcasing the power of NVIDIA Omniverse and the new GeForce RTX 4090 GPU. “Our goal was to create something that had never been done before,” said Gabriele Leone, creative director at NVIDIA, who led Read article >
The post The Wheel Deal: ‘Racer RTX’ Demo Revs to Photorealistic Life, Built on NVIDIA Omniverse appeared first on NVIDIA Blog.
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It’s good to be a GeForce NOW member. Genshin Impact’s new Version 3.1 update launches this GFN Thursday, just in time for the game’s second anniversary. Even better: GeForce NOW members can get an exclusive starter pack reward, perfect for their first steps in HoYoverse’s open-world adventure, action role-playing game. And don’t forget the nine Read article >
The post All This and Mor-a Are Yours With Exclusive ‘Genshin Impact’ GeForce NOW Membership Reward appeared first on NVIDIA Blog.
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https://openai.com/blog/dall-e-now-available-without-waitlist/
It appears to work as advertised, not any special workflow. (as a bonus, it does work with organizations too, with credits shared)
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Data-centric approach of building AI models is about focusing as diligently on the data as AI engineers usually do on the models and algorithms. Read more about it here - https://www.artiba.org/blog/data-centric-ai-vs-model-centric-ai-everything-you-need-know
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Thank you to everyone who participated!) Some of the added features are:
support for dataset poisoning detection for classification models (Spectral Signature Detection)
support for several defenses (Gaussian Noise, Gaussian Augmentation, Reverse Sigmoid)
support for the Kitti dataset format
attacks and visualization for depth perception tasks
webhook functionality to enable easy workflow automation
performance improvement and more.
If you haven't tested it so far, you can make an account and test out the updated version. Your feedback is really appreciated. You can sign up here https://www.navinfo.eu/services/cybersecurity/guardai/ and leave your feedback directly through the platform. Thank you!
GuardAI
We harness the power of AI and Cybersecurity to develop more secure and robust solutions.
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Several machine learning models, as neural networks, are very popular in the data science community, due to its scalability and capacity…
Continue reading on Becoming Human: Artificial Intelligence Magazine »
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The rise of artificial intelligence technologies enables organizations to adopt and improve self-service capabilities in contact center operations to create a more proactive, timely, and effective customer experience. Voice bots, or conversational interactive voice response systems (IVR), use natural language processing (NLP) to understand customers’ questions and provide relevant answers. Businesses can automate responses to […]
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As businesses and IT leaders look to accelerate the adoption of machine learning (ML), there is a growing need to understand spend and cost allocation for your ML environment to meet enterprise requirements. Without proper cost management and governance, your ML spend may lead to surprises in your monthly AWS bill. Amazon SageMaker is a […]
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New users can start creating straight away. Lessons learned from deployment and improvements to our safety systems make wider availability possible.
Sign up
Starting today, we are removing the waitlist for the DALL·E beta so users can sign up and start using it immediately. More than 1.5M
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NVIDIA artist Sabour Amirazodi demonstrates his video editing workflows featuring AI this week in a special edition of In the NVIDIA Studio.
The post Video Virtuoso Sabour Amirazodi Shares AI-Powered Editing Tips This Week ‘In the NVIDIA Studio’ appeared first on NVIDIA Blog.
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Source: Unsplash If you’re a coworking space owner and using CRM system, you know that keeping track of your members can be daunting. From juggling monthly membership payments to track who’s been using the printers lately, it’s easy for things to slip through the cracks. That’s where a CRM system comes in handy! Here are… Read More »7 convincing reasons why your coworking needs a CRM system
The post 7 convincing reasons why your coworking needs a CRM system appeared first on Data Science Central.
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Today, data has evolved into one of the most crucial resources in the world. Unlike tangible resources like wood and fuel, the same data set can be used repeatedly and for different applications. Tons of user information gets observed or generated by tech and algorithms to facilitate the personalization we see today.
The post Data Erasure: How to Remove your Information from the Internet? appeared first on Data Science Central.
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Just released a new way to create synthetic media using AI Voices. Speech-to-Speech by Resemble AI will allow you to control your AI voice with any audio file/mic input you provide it with. Here's a quick video showing how it works:
https://youtu.be/cXtgdsWw1xI
https://www.resemble.ai/speech-to-speech/
https://preview.redd.it/btxe8w0vegq91.png?width=2560&format=png&auto=webp&s=f54f791edc4d1a5b0b330932c9deacd1f75e645d
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Tested on Nvidia A10G, took 15-20 mins to train. We can finally run on colab notebooks.
Colab: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth\_Stable\_Diffusion.ipynb
Code: https://github.com/ShivamShrirao/diffusers/blob/main/examples/dreambooth/
More details https://github.com/huggingface/diffusers/pull/554#issuecomment-1259522002
https://preview.redd.it/y19vz2ecpeq91.png?width=949&format=png&auto=webp&s=8e5c8f0bf0b4b6dd1ae92fb6df5713d9bb094096
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The CCPA entitles consumers to know what personal information is being collected and how it is further shared to be used by third parties. Moreover, it is well within the consumers’ rights to stop any business from sharing their data and remove it completely.
The post 7 Key Steps to Comply with California Consumer Privacy Act (CCPA) appeared first on Data Science Central.
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The Cloud has been a dominant paradigm over the last decade but is now attracting regulatory scrutiny.
The post Cloudy Skies: The Rise of Federated Containers and Scrutiny appeared first on Data Science Central.
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The IOT security product industry promises to become a safe road for digital commercialization. IOT security products safeguard networks and interconnected devices. It caters to various business needs such as data encryption, authentication and subsequent, regulatory compliance.
The post Internet of Things Security: Safeguarding Connected Devices and Networks in IoT Era appeared first on Data Science Central.
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In 1974, two distinct but interestingly similar milestones were achieved that would greatly affect the lives of data engineers: the Rubik’s Cube was invented, and IBM released the first relational database. Since its original rise in the 1980s, the Rubik’s Cube has become the world’s most popular puzzle toy.
The post The Similarities of Solving Data Problems and Rubik’s Cubes appeared first on Data Science Central.
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Blockchain experts are in demand. Due to its multiple uses, it needs people handling this new technology. Like any other great profession, these aren't for everyone. You must have or acquire talents by becoming a certified blockchain professional and give reasons to recruiters to hire you.
The post What Careers are Available After Blockchain Certifications? appeared first on Data Science Central.
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A few months ago, Pakistan also faced one of the worst heatwaves in the world, with at one stage, the top 5 of the ten hottest places on earth were in Pakistan.
The post Pakistan Serves As a Great Reminder for Climate Justice appeared first on Data Science Central.
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Before embarking on the data profiling exercise, an analyst must prepare by going through a data profiling analysis.
The post 10 steps to data profiling for successful data discovery: Part II appeared first on Data Science Central.
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I love this infographic recently floating around LinkedIn. Sorry, don’t know to whom to give credit, but it does provide an interesting depiction of how senior management thinks AI works and the realities of what’s required to make AI work.
The post Point – Counterpoint on Why Organizations Suck at AI appeared first on Data Science Central.
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Organizations must opt for a more centralized approach to automate their privacy functions to reduce risk and build transparency and trust with their consumers.
The post Privacy Center: The Key to Meeting Data Privacy Obligations appeared first on Data Science Central.
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Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored in both structured and unstructured repositories. An enterprise search solution should […]
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The proliferation of machine learning (ML) across a wide range of use cases is becoming prevalent in every industry. However, this outpaces the increase in the number of ML practitioners who have traditionally been responsible for implementing these technical solutions to realize business outcomes. In today’s enterprise, there is a need for machine learning to […]
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Amazon SageMaker Pipelines allows data scientists and machine learning (ML) engineers to automate training workflows, which helps you create a repeatable process to orchestrate model development steps for rapid experimentation and model retraining. You can automate the entire model build workflow, including data preparation, feature engineering, model training, model tuning, and model validation, and catalog […]
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Data scientists often train their models locally and look for a proper hosting service to deploy their models. Unfortunately, there’s no one set mechanism or guide to deploying pre-trained models to the cloud. In this post, we look at deploying trained models to Amazon SageMaker hosting to reduce your deployment time. SageMaker is a fully […]
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A machine-learning method finds patterns of health decline in ALS, informing future clinical trial designs and mechanism discovery. The technique also extends to Alzheimer’s and Parkinson’s.
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The MIT-Pillar AI Collective will cultivate prospective entrepreneurs and drive innovation.
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https://github.com/huggingface/diffusers/pull/554#issuecomment-1258751183
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An analysis of TikTok subscriber count. It appears this quantity is highly predictable, and one of the strongest signals is the face of the owner of the channel: https://medium.com/@enryu9000/lookism-in-tiktok-3def0f20cf78
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Useful Tools and Resources for learning about Neuromorphic Computing.
Table of Contents
Getting Started with Neuromorphic Computing
Developer Resources
Online Training Courses
Books
YouTube videos
Neuromorphic Computing Tools, Libraries, and Frameworks
Machine Learning
Deep Learning Development
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Aleksander Madry, Asu Ozdaglar, and Luis Videgaray, co-chairs of the AI Policy Forum, discuss key issues facing the AI policy landscape today.
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Today, we’re excited to announce self-service quota management support for Amazon Textract via the AWS Service Quotas console, and higher default service quotas in select AWS Regions. Customers tell us they need quick turnaround times to process their requests for quota increases and visibility into their service quotas so they may continue to scale their […]
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AI systems are becoming increasingly complex as we move from visionary research to deployable technologies such as self-driving cars, clinical predictive models, and novel accessibility devices. Unlike singular AI models, it is more difficult to assess whether these more complex AI systems are performing consistently and as intended to realize human benefit. How do we […]
The post Assessing AI system performance: thinking beyond models to deployment contexts appeared first on Microsoft Research.
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Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.
For more details: https://github.com/ahmetoner/whisper-asr-webservice
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https://youtu.be/ptsxyD8e4CA
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